Page 312 - Big Data Analytics for Connected Vehicles and Smart Cities

292 Big Data Analytics for Connected Vehicles and Smart Cities Index 293

cost estimation, 242–43, 244 variable tolling, 164
data sources, 48, 49 Traveler information
services, 90 benefit estimate, 264
Transportation system cost estimate, 251
bottlenecks and slowdowns in, 21 cost estimation, 243–44, 245
connected and autonomous vehicle data sources, 47, 48
impact on, 22 services, 90–91
efficiency optimization, 22 Travel value analysis use case, 170
maximizing safety, 20–21
mobility as a service impact on, 28 Urban analytics
safety improvement effects, 21 cost estimate, 255
service deficiencies, 26–27 services, 91
traveler use of, 28–29 smart city services analytics, 130
Transportation systems management vision element, 85
and operations (TSM&O), 51–52 Urban automation
Transportation use cases analysis use case, 171
accessibility index, 170 analytics, 130–31
analytics to be used, 160 benefit estimate, 264
asset and maintenance management, cost estimate, 252
162 cost estimation, 245, 246
business benefits, 159 services, 91
challenges, 159 vision element, 83
connected, involved citizens, 163–64 Urban delivery and logistics
connected vehicle probe data, 162–63 analytics, 131
customer satisfaction and travel benefit estimate, 265
response, 169 cost estimate, 252
defined, 157–58 cost estimation, 245, 247
electric fleet management, 166–67 services, 91
expected outcome of analyses, 158 vision element, 85
format, 158–60 Urban-focused mobility services, 91
freight performance management, 171 U.S. DOT smart city vision elements, 85
ICT management, 166 Use cases
intelligent sensor-based infrastructure, accessibility index, 170
165 asset and maintenance management,
introduction to, 156–57 162
list of, 159 connected, involved citizens, 163–64
MaaS, 172 connected vehicle probe data, 162–63
mobility hub, 167 customer satisfaction and travel
objectives, 158 response, 169
partnership management, 168 defined, 158
smart city examples, 158–61 electric fleet management, 166–67
source data examples, 158–59 format, 158–60
success criteria, 158 freight performance management, 171
summary, 160–61 ICT management, 166
ticketing strategy and payment channel intelligent sensor-based infrastructure,
evaluation, 164–65 165
transportation governance system, list of, 159
168–69 MaaS, 172
travel value analysis, 170 mobility hub, 167
urban automation analysis, 171 partnership management, 168